feat(openmetadata): populate Data Insights dashboard

Assign owners to all 177 tables and descriptions + tier tags to the 18
business tables, then trigger SearchIndexing + DataInsights apps so the
platform Data Insights page shows real totals, description coverage and
tier distribution instead of empty plots.

deploy/openmetadata/enrich/di_verify.py

@@ -0,0 +1,31 @@
+import json, os, time, urllib.request, urllib.parse, urllib.error
+
+OM = "http://openmetadata-server:8585/api"
+H = {"Authorization": "Bearer " + os.environ["OM_TOKEN"]}
+now = int(time.time() * 1000)
+start = now - 7 * 86400000
+
+
+def get(path):
+    r = urllib.request.Request(OM + path, headers=H)
+    try:
+        with urllib.request.urlopen(r, timeout=30) as resp:
+            return resp.status, json.loads(resp.read().decode())
+    except urllib.error.HTTPError as e:
+        return e.code, e.read().decode()[:160]
+
+
+charts = [
+    "total_data_assets",
+    "percentage_of_data_asset_with_owner",
+    "percentage_of_data_asset_with_description",
+    "total_data_assets_by_tier",
+]
+for c in charts:
+    p = "/v1/analytics/dataInsights/system/charts/name/%s/data?start=%d&end=%d" % (c, start, now)
+    st, r = get(p)
+    summary = r
+    if isinstance(r, dict):
+        res = r.get("results") or r.get("data") or []
+        summary = "results=%d e.g. %s" % (len(res), json.dumps(res[:2])[:220])
+    print("%-45s %s %s" % (c, st, summary))